Applied Technology in Design of Smart Terminal for New Energy Micro Grid of Island

2013 ◽  
Vol 859 ◽  
pp. 537-541
Author(s):  
Li Ma ◽  
Yong Gang Peng ◽  
Wei Wei
Keyword(s):  
Coordinated Control ◽  
Development Trend ◽  
The Other ◽  
Time Data ◽  
Applied Technology ◽  
Real Time Data ◽  
New Energy ◽  
Micro Grid ◽  
Data Realization ◽  
Promising Development

Applied technology plays an important role in new energy micro grid.new energy micro grid is promising development trend of small and medium-sized island power system. The smart terminal is designed for measuring and sampling the micro grid’s real-time data, realization for coordinated control of micro grid. Smart terminal use the communication and interface module to connect to the other equipment and collecting data. The smart terminal can upload the operating data of micro grid and receive control commands through the Ethernet.

scholarly journals Updated Model for the USA Summer 2021 CoVID-19 Resurgence

2021 ◽  
Author(s):  
Genghmun Eng
Keyword(s):  
The Other ◽  
Time Data ◽  
Social Distancing ◽  
Vaccination Rates ◽  
The Social ◽  
Real Time Data ◽  
Government Mandates ◽  
The Usa ◽  
Stage 1 ◽  
Overall Mortality

Over the course of the CoVID-19 pandemic, we utilized widely-available real-time data to create models for predicting its spread, and to estimate the time evolution for each of the USA CoVID-19 waves. Our recent medrxiv.org preprint (10.1101_2021.08.16.21262150) examined the USA Summer 2021 resurgence, from ~6/7/2021 up through ~8/15/2021 (Stage 1). Our preprint covering this period showed that CoVID-19 could infect virtually all susceptible non-vaccinated persons, who were practicing minimal Social Distancing and NO Mask-Wearing. The most recent USA Summer 2021 resurgence data, from ~8/13/2021 up through 10/7/2021 (Stage 2), shows a significant "flattening of the curve". Since no new government mandates were involved, our interpretation is that some vaccine-hesitant people have now elected to become vaccinated. The Social Distancing parameter in our model showed a ~6.67X increase between Stage 1 and Stage 2, indicating that this parameter also can serve as an indicator of vaccination rates. The other parameter in our model, which is associated with Mask-Wearing, increased from zero to a finite but relatively small value. Using the 10/7/2021 USA CoVID-19 overall mortality rate of ~1.60942% gives these updated predictions for the total number of USA CoVID-19 cases and deaths: N(Total by 3/21/2022)~ 52,188,000; N(Deaths by 3/21/2022)~ 839,900 ; N(Total by 3/21/2024)~ 52,787,000; N(Deaths by 3/21/2024)~ 849,600 ; assuming no new 2021 Winter Resurgence occurs (with 3 Figures).

scholarly journals Short-Term Forecasts of COVID-19 Spread Across Indian States Until 1 May 2020

2020 ◽  
Author(s):  
Sarita Azad ◽  
Neeraj Poonia
Keyword(s):  
Moving Average ◽  
Arima Model ◽  
The Other ◽  
Time Data ◽  
Short Term ◽  
Indian States ◽  
Autoregressive Integrated Moving Average ◽  
First Case ◽  
Real Time Data ◽  
Exponential Smoothing Method

The very first case of corona-virus illness was recorded on 30 January 2020, in India and the number of infected cases, including the death toll, continues to rise. In this paper, we present short-term forecasts of COVID-19 for 28 Indian states and five union territories using real-time data from 30 January to 21 April 2020. Applying Holt’s second-order exponential smoothing method and autoregressive integrated moving average (ARIMA) model, we generate 10-day ahead forecasts of the likely number of infected cases and deaths in India for 22 April to 1 May 2020. Our results show that the number of cumulative cases in India will rise to 36335.63 [PI 95% (30884.56, 42918.87)], concurrently the number of deaths may increase to 1099.38 [PI 95% (959.77, 1553.76)] by 1 May 2020. Further, we have divided the country into severity zones based on the cumulative cases. According to this analysis, Maharashtra is likely to be the most affected states with around 9787.24 [PI 95% (6949.81, 13757.06)] cumulative cases by 1 May 2020. However, Kerala and Karnataka are likely to shift from the red zone (i.e. highly affected) to the lesser affected region. On the other hand, Gujarat and Madhya Pradesh will move to the red zone. These results mark the states where lockdown by 3 May 2020, can be loosened.

scholarly journals Mathematical Modelling of Coronavirus disease (COVID-19) Outbreak in India using Logistic Growth and SIR Models

2020 ◽  
Author(s):  
Joby Mackolil ◽  
Basavarajappa Mahanthesh
Keyword(s):  
Growth Rate ◽  
Mathematical Modelling ◽  
Infection Rate ◽  
Preventive Measures ◽  
The Other ◽  
Disease Spread ◽  
Logistic Growth ◽  
Time Data ◽  
Real Time Data ◽  
Logistic Growth Model

Abstract The mathematical modelling of the Coronavirus disease (COVID-19) outbreak in India is done by using the logistic growth model and the Susceptible-Infectious-Recovered (SIR) framework. Karnataka, Kerala and Maharashtra, three states of India, are selected based on the pattern of the disease spread and the prominence in being affected in India. The parameters of the models are estimated by utilizing real-time data. The models predict the ending of the pandemic in these states and estimate the number of people that would be affected under the prevailing conditions. The models classify the pandemic into five stages based on the nature of the infection growth rate. According to the estimates of the models it can be concluded that Kerala is in a stable situation whereas the pandemic is still growing in Karnataka and Maharashtra. The infection rate of Karnataka and Kerala are lesser than 5% and reveal a downward trend. On the other hand, the infection rate and the high predicted number of infectives in Maharashtra calls for more preventive measures to be imposed in Maharashtra to control the disease spread.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data
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